Triple
T17980910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kundalini |
E449597
|
entity |
| Predicate | practiceAssociated |
P2458
|
FINISHED |
| Object | pranayama |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: pranayama | Statement: [Kundalini, practiceAssociated, pranayama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceAssociated Context triple: [Kundalini, practiceAssociated, pranayama]
-
A.
practiceType
Indicates the specific kind or category of practice associated with an entity or activity.
-
B.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
C.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
-
D.
associatedWithPractice
chosen
Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
-
E.
approvedPractice
Indicates that a particular practice, method, or procedure has been formally reviewed and granted official approval for use or adoption.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20431588190a5fe2148a61de403 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.